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Accuracy Improvement of Ultrasonic Inspection for Civil Structures and Materials

  • Toshiyuki Oshima
  • Shuichi Mikami
  • Muhammad Saidur Rahman
  • Motoharu Yasuda
  • Ronald. D. Kriz
Chapter

Abstract

When we want to extend the life of an actual infrastructure and improve its serviceability adjusting the change of environmental situation, we need to evaluate its structural integrity quantitatively by using an appropriate inspection procedure on it. It is, therefore, important for a civil engineer to set up an effective inspection procedure to get the quantitative integrity evaluation of an infrastructure. The procedure of inspection for an infrastructure in Japan is divided into two types, that is, a periodical inspection and occasional (eventwise) inspection just after an earthquake. Inspector is chosen to have his experience career as a civil engineer more than 5 years and inspects infrastructures to classify the integrity level by five ranks on the each part of the structure by using the visual inspection according to the inspection manual tentatively provided by the Public Works Research Institute, Ministry of Construction. In the case if an inspector found any important damage or defect by the visual inspection, the precise inspection will be done by using a nondestructive testing to evaluate the size, shape and location of the damage or defect on the infrastructure. And if we could identify the damage or defect with an accurate information, we can evaluate its remaining life time by means of fracture mechanics and fatigue analysis and decide whether the damage or defect will propagate further or not. Thus we can, eventually, evaluate the structural integrity of the infrastructure by using the analysis of quantification theory [3] to classify the structures into four groups of integrity as A (Keep Watching), B (Need Small Repair), C (Need Large Repair) and D (Need Replace or Reconstruction).

Keywords

Reflection Wave Waveform Analysis Flight Data Ultrasonic Inspection Sensor Versus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Press, New York 1995

Authors and Affiliations

  • Toshiyuki Oshima
    • 1
  • Shuichi Mikami
    • 1
  • Muhammad Saidur Rahman
    • 1
  • Motoharu Yasuda
    • 2
  • Ronald. D. Kriz
    • 3
  1. 1.Department of Civil EngineeringKitami Institute of TechnologyKitami, HokkaidoJapan
  2. 2.Tousetsu Doboku ConsultantsTokyoJapan
  3. 3.Virginia Polytechnic Institute and State UniversityUSA

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